Purpose: The purpose of this study was to assess projection-resolved optical coherence tomography angiography (PR-OCTA) vessel density (VD) and foveal avascular zone (FAZ) in determining severity within diabetic retinopathy (DR) and their accuracy in identifying high-risk DR patients. Methods: This was a retrospective study with 72 eyes of 52 DR patients, assessing the VD and FAZ area of the superficial capillary plexus (SCP) and deep vascular plexus (DVP), for both 3 × 3-mm and 6 × 6-mm scans between the DR groups (mild to moderate, severe and proliferative DR [PDR]). For accuracy, the severe and PDR groups were merged, representing the high-risk DR group for receiver operator characteristic analysis. VD of OCTA images with and without PR were compared. Results: In mild to moderate, severe, and PDR groups, there were 31, 21, and 20 eyes, respectively. PR-OCTA improved VD analysis only in the DVP and particularly in advanced DR stages (P = 0.042). In the 3 × 3-mm PR scans, all superficial and deep parameters were significantly different between severe and PDR groups (P ≤ 0.020), but only the mean VD of SCP and DVP was also significant between the mild to moderate and severe groups (P ≤ 0.007). In the 6 × 6-mm scans, the superficial VD, deep VD, and superficial FAZ were significantly different between the severe and PDR groups (P ≤ 0.029). The superficial VD and deep VD of the 3 × 3-mm scans were good parameters for detecting high-risk patients (area under the curve = 0.829 and 0.895, respectively). Conclusions: PR-OCTA improved VD analysis of DVP. The 3 × 3-mm SCP and DVP VD were the most accurate in detecting high-risk DR.
Purpose: The purpose of this study was to assess projection-resolved optical coherence tomography angiography (PR-OCTA) vessel density (VD) and foveal avascular zone (FAZ) in determining severity within diabetic retinopathy (DR) and their accuracy in identifying high-risk DR patients. Methods: This was a retrospective study with 72 eyes of 52 DR patients, assessing the VD and FAZ area of the superficial capillary plexus (SCP) and deep vascular plexus (DVP), for both 3 × 3-mm and 6 × 6-mm scans between the DR groups (mild to moderate, severe and proliferative DR [PDR]). For accuracy, the severe and PDR groups were merged, representing the high-risk DR group for receiver operator characteristic analysis. VD of OCTA images with and without PR were compared. Results: In mild to moderate, severe, and PDR groups, there were 31, 21, and 20 eyes, respectively. PR-OCTA improved VD analysis only in the DVP and particularly in advanced DR stages (P = 0.042). In the 3 × 3-mm PR scans, all superficial and deep parameters were significantly different between severe and PDR groups (P ≤ 0.020), but only the mean VD of SCP and DVP was also significant between the mild to moderate and severe groups (P ≤ 0.007). In the 6 × 6-mm scans, the superficial VD, deep VD, and superficial FAZ were significantly different between the severe and PDR groups (P ≤ 0.029). The superficial VD and deep VD of the 3 × 3-mm scans were good parameters for detecting high-risk patients (area under the curve = 0.829 and 0.895, respectively). Conclusions: PR-OCTA improved VD analysis of DVP. The 3 × 3-mm SCP and DVP VD were the most accurate in detecting high-risk DR.
Authors: Itika Garg; Chibuike Uwakwe; Rongrong Le; Edward S Lu; Ying Cui; Karen M Wai; Raviv Katz; Ying Zhu; Jade Y Moon; Chloe Y Li; Inês Laíns; Dean Eliott; Tobias Elze; Leo A Kim; David M Wu; Joan W Miller; Deeba Husain; Demetrios G Vavvas; John B Miller Journal: Ophthalmol Sci Date: 2022-03-18
Authors: Fang Yao Tang; Erica O Chan; Zihan Sun; Raymond Wong; Jerry Lok; Simon Szeto; Jason C Chan; Alexander Lam; Clement C Tham; Danny S Ng; Carol Y Cheung Journal: Eye Vis (Lond) Date: 2020-02-03
Authors: Sam Kushner-Lenhoff; Kaitlin Kogachi; Melissa Mert; Zhongdi Chu; Anoush Shahidzadeh; Neal V Palejwala; Jeremy Wolfe; Sujit Itty; Kimberly A Drenser; Antonio Capone; Pravin U Dugel; Andrew A Moshfeghi; Hossein Ameri; Lauren P Daskivich; Ruikang K Wang; Amir H Kashani Journal: PLoS One Date: 2022-01-26 Impact factor: 3.240